Intel
Geekbench AI Score
2069
Single Precision Score
1090
Half Precision Score
3810
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Intel |
| Motherboard | Intel H610 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
4476
834.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1733
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
12650
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.6 IPS |
|
|
Object Detection (Q)
|
86% |
3748
301.2 IPS |
|
|
Face Detection (SP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
5556
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3880
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1494
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9213
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6948
8.93 IPS |
|
|
Style Transfer (HP)
|
100% |
5975
7.68 IPS |
|
|
Style Transfer (Q)
|
98% |
8988
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3088
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
726
968.5 IPS |
|
|
Text Classification (Q)
|
97% |
506
677.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2444
49.1 IPS |
